And ols can too. That doesn't make it machine learning. This implementation doesn't involve any regularization.

I am not really sure why you are trying to redefine the term machine learning with random references to regularization. OLS is taught in every machine learning course. The machine learns parameters via gradient descent for a wide variety of loss functions.